Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Intelligent qualitative and quantitative detection method for human body stones

A quantitative detection method and technology for calculi, applied in the field of calculi, can solve the problems of cumbersome, non-physical and chemical professional doctors and nurses grasping, promoting and applying limitations, etc., and achieve the effect of controlling the recurrence of calculi

Inactive Publication Date: 2014-07-16
孙西钊
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the complex and cumbersome spectral analysis technology, it is impossible to generate a treatment or prevention plan for stones, and it is difficult to be mastered by doctors and nurses who are not specialized in physics and chemistry. Therefore, its clinical promotion and application are greatly limited.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent qualitative and quantitative detection method for human body stones
  • Intelligent qualitative and quantitative detection method for human body stones
  • Intelligent qualitative and quantitative detection method for human body stones

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] Take calcium oxalate monohydrate stones: Obtain the infrared spectrum of calcium oxalate monohydrate stones from the Fourier transform infrared spectrometer, after data decryption and data verification, start data processing (that is, X-axis and Y-axis values, data smoothing and error removal information), after processing, the corrected stone infrared spectrum was obtained for calcium oxalate monohydrate stones. Through the partial least squares method combined with the traditional digital-analog calculation method of peak position, peak height, and peak area by weighting method, it is compared with the stored infrared spectrum of stones, such as Figure 5 As shown, when the calcium oxalate monohydrate calculus is in the peak position 2755-2759, there is an absorption peak with a downward peak intensity of 23%; At 1310-1330, there is an absorption peak with a peak intensity of 70%; at the peak position 1610-1670, there is an absorption peak with a peak intensity of 90%...

Embodiment 2

[0046] Take the ammonium magnesium phosphate hexahydrate stone: Obtain the infrared spectrum of the magnesium ammonium phosphate hexahydrate stone from the Fourier transform infrared spectrometer, after data decryption and data verification, start data processing (that is, X-axis and Y-axis value, data smoothing and Error information was removed), and after processing, the corrected infrared spectrum of the stone was obtained. Through the partial least square method or weighting method combined with the traditional digital-analog calculation method of peak position, peak height, and peak area, it is compared with the stored infrared spectrum of the stone, such as Figure 5 As shown, the magnesium ammonium phosphate hexahydrate stone has a downward peak intensity of 50% absorption peak at peak position 1000-1098; at peak position 1400-1421, there is a peak intensity of 25% absorption peak; at peak position 2911 At -3500, there is a downward round-bottom absorption peak; at the ...

Embodiment 3

[0048]Cholesterol stone extraction: Obtain the infrared spectrum of cholesterol stones from the Fourier transform infrared spectrometer. After data decryption and data verification, start data processing (that is, X-axis and Y-axis values, data smoothing and removal of error information). After processing, you can get Corrected infrared spectrum of cholesterol stones. Through the partial least square method or weighting method combined with the traditional digital-analog calculation method of peak position, peak height, and peak area, it is compared with the stored infrared spectrum of the stone, such as Figure 5 As shown, when the cholesterol gallstones are at the peak position 3304-3409, there is an absorption peak with a downward peak intensity of 22%; when the peak position is 2830-2950, ​​there is an absorption peak with a peak intensity of 41%; At -2910, there is an absorption peak with a peak intensity of 90%; at the peak position 1102-1115, there is an absorption peak...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to an intelligent qualitative and quantitative detection method for human body stones. According to the intelligent qualitative and quantitative detection method for the human body stones, a light source emits infrared light; the infrared light irradiates to a sample in a sample room through an interferometer; a stone infrared spectrum of the sample is obtained and is stored to a computer; the stone infrared spectrum is subjected to data decryption, data verification, and stone component and content analysis; an analysis result is stored in a memory; a report is generated according to the analysis result. According to the method, the defects that a spectrum analysis technology is complex and cumbersome, a scheme for treating or preventing stones cannot be generated, the spectrum analysis technology is difficultly grasped by non-physical professional doctors and nurses and the like are overcome. The method has high stone sample analysis accuracy, and has efficiency and high accuracy on a single-component or mixed-component stone sample; a stone infrared spectrum can be analyzed automatically; the obstacle that a user cannot analyze the spectrum is overcome; stone prevention measurement and medicament treatment schemes can be automatically provided according to the reported stone components, which contribute to clinical popularization and application.

Description

technical field [0001] The invention relates to the technical field of stones, in particular to an intelligent qualitative and quantitative detection method for human stones. Background technique [0002] Calculus disease (comprising urinary calculus, biliary calculus, pancreatic calculus, salivary calculus, dental calculus, etc.) is a life-long disease, and it is easy to recur after treatment. [0003] Before the present invention, infrared spectroscopy was the standard method for analyzing stone composition. However, due to the complex and cumbersome spectral analysis technology, and the inability to generate a treatment or prevention plan for stones, it is difficult for doctors and nurses who are not specialized in physical chemistry to master, so its clinical promotion and application are greatly limited. Contents of the invention [0004] The purpose of the present invention is just to overcome above-mentioned defect, develops a kind of intelligent qualitative quanti...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N21/3563
Inventor 孙西钊
Owner 孙西钊
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products